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An Improved Colored-Marker Based Registration Method for AR Applications

机译:AR应用的改进的基于彩色标记的配准方法

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Registration is crucial in an Augmented Reality (AR) system for it determines the performance of alignment between virtual objects and real scene. Colored-makers with known world coordinates are usually put in the target scene beforehand to help get a real-time, precise registration because they can provide explicit 3D/2D correspondences and four such correspondences can produce adequate and accurate equations of the pose matrix if the camera's intrinsic matrix has already been calibrated, and then registration can be achieved by solving these equations. However, usually only limited number of (e.g. two or three) markers out of four can be captured and this will make the colored-marker based method fail. In order to overcome such shortcomings an improved colored-marker based registration method is proposed in this paper which works when the target scene is a plane. The proposed method integrates both 3D/2D and 2D/2D information by updating the cost function used in the optimization step of RANSAC, and thus combines the virtues of homography based method. Experimental result shows that the proposed method can provide acceptable pose estimation and its potential to be applied in actual AR systems.
机译:注册对于增强现实(AR)系统至关重要,用于确定虚拟对象与实际场景之间的对齐性能。具有已知世界坐标的色彩制造商通常预先在目标场景中放入目标场景,以帮助获得实时精确的注册,因为它们可以提供显式的3D / 2D对应关系,并且四个这样的相应关系可以产生姿势矩阵的足够和准确的方程已经校准了相机的内在矩阵,然后通过求解这些方程可以实现登记。但是,通常只有有限数量的(例如,两三个)标记,可以捕获四分之一的标记,这将使基于彩色标记的方法失败。为了克服这种缺点,在本文中提出了一种改进的彩色标记的配准法,该配准法在目标场景是平面时起作用。所提出的方法通过更新Ransac优化步骤中使用的成本函数来集成3D / 2D和2D / 2D信息,从而结合了基于特征的方法的优点。实验结果表明,该方法可以提供可接受的姿态估计及其在实际AR系统中应用的可能性。

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